DGDM : Deterministic Guidance Diffusion Model for Probabilistic Weather Forecasting

Welcome to the official repository for the Deterministic Guidance Diffusion Model for Probabilistic Weather Forecasting

Preparations

Before diving into the model, ensure your environment is set up correctly.

Setup

conda create -n [name] python==3.9
conda activate [name]
pip install -r requirements.txt

Dataset

Moving MNIST dataset

cd ./data/moving_mnist
bash download_mmnist.sh

PWD-typhoon

to be continue

Usage

Demo

TODO

Train

python main.py -c configs/Template-MovingMNIST.yaml -t -r set/your/save/dir

Test

python main.py -c configs/Template-MovingMNIST.yaml -r set/your/save/dir

Citation

@misc{yoon2023deterministic,
      title={Deterministic Guidance Diffusion Model for Probabilistic Weather Forecasting}, 
      author={Donggeun Yoon and Minseok Seo and Doyi Kim and Yeji Choi and Donghyeon Cho},
      year={2023},
      eprint={2312.02819},
      archivePrefix={arXiv},
      primaryClass={cs.CV}
}

Reference

This repository was implemented by the following repositories.

• BBDM
• VDM
• SimVP